easysam / Autoformer
Implementation of the paper "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting", https://arxiv.org/abs/2106.13008
☆19Updated 3 years ago
Alternatives and similar repositories for Autoformer
Users that are interested in Autoformer are comparing it to the libraries listed below
Sorting:
- Source codes for Time2Graph+ model.☆33Updated 4 years ago
- ☆17Updated 5 years ago
- Multivariate time series representation learning (using bert-like model adapted for TS)☆15Updated 3 years ago
- ☆42Updated 4 years ago
- ☆42Updated 3 years ago
- Multi-scale Two-way Deep Neural Network☆43Updated 4 years ago
- Code for Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading at WWW 2021☆20Updated 3 years ago
- ☆53Updated 3 years ago
- ☆44Updated 2 years ago
- DSARF: Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting (AAAI2021)☆23Updated 3 years ago
- Attentive Neural Point Processes for Event Forecasting, AAAI 2021☆17Updated 3 years ago
- Leverage on recent advances in graph convolution and sequence modeling to design neural networks for spatio-temporal forecasting, which i…☆24Updated 4 years ago
- PyG (a geometric extension library for PyTorch) implementation of several Graph Neural Networks (GNNs): GCN, GAT, GraphSAGE, etc.☆50Updated 5 years ago
- Update Code for Modeling Long and Short-Term Temporal Patterns with Deep Neural Networks.(https://arxiv.org/abs/1703.07015)☆32Updated 5 years ago
- A simple package about multi-task recommendation☆17Updated 4 years ago
- 学习并复现经典的推荐系统多目标任务，如：SharedBottom、ESMM、MMoE、PLE☆35Updated 2 years ago
- This is the PyTorch implementation of TPA-LSTM☆59Updated 5 years ago
- [KDD 2021] Official Code of the paper "ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting"☆57Updated 11 months ago
- Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022☆78Updated 2 years ago
- The source code and data of the paper "Instance-wise Graph-based Framework for Multivariate Time Series Forecasting".☆31Updated 3 years ago
- ☆39Updated 3 years ago
- Rank1st Solution of PCIC 2021: Causal Inference and Recommendation☆12Updated 2 years ago
- PyTorch implementation of Diffusion Convolutional Recurrent Neural Network☆50Updated 5 years ago
- Code for IJCAI 2021 main conference paper "Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based M…☆23Updated 3 years ago
- Source code of KDD'22 paper: Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting☆29Updated 2 years ago
- Codes for Multi-Level Construal Neural Network framework☆48Updated 4 years ago
- ☆41Updated last year
- bilinear graph neural network☆29Updated 4 years ago
- Reproducing Shalit et al.'s Individual Treatment Effect model. This is a deep neural net that can be applied to various problems in causa…☆17Updated 2 years ago
- Implementation of the paper NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting.☆76Updated 4 years ago